Automated visual defect detection for flat steel surface: A survey

Q Luo, X Fang, L Liu, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Automated computer-vision-based defect detection has received much attention with the
increasing surface quality assurance demands for the industrial manufacturing of flat steels …

Steel surface defect recognition: A survey

X Wen, J Shan, Y He, K Song - Coatings, 2022 - mdpi.com
Steel surface defect recognition is an important part of industrial product surface defect
detection, which has attracted more and more attention in recent years. In the development …

Few-shot steel surface defect detection

H Wang, Z Li, H Wang - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Deep learning-based algorithms have been widely employed to build reliable steel surface
defect detection systems, which are important for manufacturing. The performance of deep …

Recent advances in surface defect inspection of industrial products using deep learning techniques

X Zheng, S Zheng, Y Kong, J Chen - The International Journal of …, 2021 - Springer
Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

Surface defect detection of steel strips based on anchor-free network with channel attention and bidirectional feature fusion

J Yu, X Cheng, Q Li - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Strip steel is an indispensable material in the manufacturing industry and the defects of the
surface directly determine the quality. Due to the diversity and complexity of surface defects …

Review of surface defect detection of steel products based on machine vision

B Tang, L Chen, W Sun, Z Lin - IET Image Processing, 2023 - Wiley Online Library
Steel plays an important role in industry, and the surface defect detection for steel products
based on machine vision has been widely used during the last two decades. This paper …

Automated visual defect classification for flat steel surface: a survey

Q Luo, X Fang, J Su, J Zhou, B Zhou… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
For a typical surface automated visual inspection (AVI) instrument of planar materials, defect
classification is an indispensable part after defect detection, which acts as a crucial …

Research progress of automated visual surface defect detection for industrial metal planar materials

X Fang, Q Luo, B Zhou, C Li, L Tian - Sensors, 2020 - mdpi.com
The computer-vision-based surface defect detection of metal planar materials is a research
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …

X-SDD: A new benchmark for hot rolled steel strip surface defects detection

X Feng, X Gao, L Luo - Symmetry, 2021 - mdpi.com
It is important to accurately classify the defects in hot rolled steel strip since the detection of
defects in hot rolled steel strip is closely related to the quality of the final product. The lack of …

Surface defect detection of steel strips based on classification priority YOLOv3-dense network

J Zhang, X Kang, H Ni, F Ren - Ironmaking & Steelmaking, 2021 - Taylor & Francis
The steel strip is an essential raw material in the machinery industry. Besides, the surface
defects of the steel strip directly determine its performance. To achieve rapid and effective …